KaarCloud - Disaster Recovery
Disaster Recovery

Disasters can be uncertain, but Disaster Recovery need not be. Disaster Recovery is one of the most overlooked services, an organization should have in place. Some dismiss it as an overpriced insurance policy. But, nothing could be further from the truth. There are several threats that needs to be addressed. KaarCloud DRaaS enables the full replication and backup of all cloud data and applications while serving as a secondary infrastructure. It actually becomes the new environment and allows an organization and users to continue with daily business processes while the primary system undergoes repair. DRaaS allows these applications to run on virtual machines (VM) at any time, even without a real disaster.

Disaster Recovery metrics that need to be monitored constantly;

  • Recovery time objective (RTO): While backups are defined by the data set to be copied, DR data sets are shaped by how long you have to recover. The RTO dictates the amount of time the recovery must take place within.

  • Recovery Point Objective (RPO): When you recover, will it be back to an hour ago? Yesterday? Last week? The RPO dictates how much data can be “lost” when the system in question is recovered.

  • Hot Reserve: Data and applications are on running systems with predetermined frequency of updates, thus providing the maximum readiness to take over when the primary site goes down.

  • Cold Reserve: Storage of data offsite with on demand access to basic hardware.

  • Warm Reserve: Storage of data on disks and use of virtual machine images for faster restore in case of primary site interruption.

What KaarCloud provides in Disaster Recovery

  • Real time DR readiness validation
  • Robust DR services with stringent SLA's
  • Best-practice workflows
  • End-to-end visibility of IT infrastructure from a DR perspective
  • Round-the-clock monitoring of RTO, RPO and technical assistance
  • Supported on public, private and hybrid cloud infrastructure
  • SAP native, expertise in wide range of Databases and DR methods